基于智能Agent的无人机发动机的自主控制策略  

Intelligent Agent-based engine control strategies for small autonomous UAVs

作　　者：谭雁英[1] 王兴海[1] 祝小平[1] 赵荣椿[2] 

机构地区：[1]西北工业大学无人机研究所,陕西西安710072 [2]西北工业大学计算机学院,陕西西安710072

出　　处：《系统工程与电子技术》2007年第4期601-604,共4页Systems Engineering and Electronics

摘　　要：利用智能Agent技术对自主飞行无人机发动机的控制进行研究。给出发动机控制Agent的分层结构。利用发动机领域专家的相关知识,提出了适用于小型无人机发动机自主控制的策略和协调算法。基于智能Agent技术的发动机实时控制系统能满足飞机爬升、巡航、待机、下滑俯冲等不同自主飞行阶段对动力系统的要求。针对飞行中动力及其它相关系统可能出现的异常状态,设计了相应的应急控制策略;并对发动机的正常工况实现了优化控制。通过十几架次小型无人机自主飞行试验表明该发动机自主控制策略的有效性。The engine control method for small autonomous Unmanned Aerial Vehicles（UAVs） is studied based on intelligent agent techniques. The hierarchy structure of the engine control agent is presented. By using the domain expert knowledge, the article details the engine control strategies and the algorithm for coordinating the agents of the engine control and the autonomous mission manager for small UAVs. The designed engine control system satisfies the power requirements for small autonomous UAVs in different flight states such as climbing, cruising, loitering, diving and so on. Emergency control strategies for the abnormality of the engine and other relevant systems are also provided and the control strategies for the engine in normal situation are optimized. The ten-odd flight tests show the effectiveness of the designed engine control strategies.

关 键 词：自主飞行任务管理器 发动机控制策略 智能AGENT 分层结构 小型无人机 

分 类 号：TP242.6[自动化与计算机技术—检测技术与自动化装置]